Keel Morphology Analysis on Winter Sea Ice in Northwestern Weddell Sea, Antarctica

被引：0
|
作者：
Tan B. [1 ,2 ]
Gao C. [2 ]
Lu Y. [3 ,4 ]
Lu P. [5 ]
Li Z. [5 ]
机构：
[1] School of Mathematics and Statistics, Nanyang Normal University, Nanyang
[2] Key Laboratory of Natural Disaster and Remote Sensing of Henan Province, Nanyang Normal University, Nanyang
[3] State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan
[4] College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing
[5] State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian
来源：
Gao, Chunchun (gaocc@nynu.edu.cn) | 1600年 / Editorial Board of Medical Journal of Wuhan University卷 / 46期
基金：
中国国家自然科学基金;
关键词：
Antarctica; Keel; Morphology; Parameter identification; Sea ice; Statistical optimal;
D O I：
10.13203/j.whugis20190204
中图分类号：
学科分类号：
摘要：
Objectives: Morphology of polar sea ice changes continuously under the influences of external driving forces, e.g., wind, flow and waves. Observations and change regularity analysis on morphology of polar sea ice not only is helpful for the optimization of sea ice thermodynamics numerical simulation and the inversion of sea ice thickness based on roughness parameters, but also provide distinct importance for understanding the response of polar sea ice morphology to climate change. Methods: Based on the undulations profiles of sea ice bottom in Northwestern Weddell Sea measured by the helicopter⁃borne electromagnetic⁃induction bird (EM⁃bird) system during the winter of 2006, this paper establishes a nonlinear statistical optimal model with the cutoff draft as the identified variable to separate the ridge keels and local undulations on sea ice bottom. Then, the keel morphology parameters and correlation between the keel draft and frequency are statistically analyzed. Finally, a new parameter T is hatched to assess the correlation between the ridge sail height and keel draft. Results: The results suggest that the optimal cutoff draft is 3.8 m and the keel spacing is the main factor affecting the ridging intensity. Despite marked sea ice deformation in different regions in Northwestern Weddell Sea, morphology changes of the keel are not evident. There is a good log correlation between draft and frequency of the keel, which vividly describes morphology and distribution of the keel. The newly hatched parameter T has a significant linear correlation with keel depth (r=0.93). Conclusions: The newly proposed modeling method can separate the keel from sea ice bottom undulations more accurately, which provides a new theoretical reference for morphological correlation analysis between surface and bottom of sea ice, and the inversion of sea ice thickness and bottom draft from its surface height. © 2021, Editorial Board of Geomatics and Information Science of Wuhan University. All right reserved.
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页码：1386 / 1394
页数：8
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